A flexible pressure sensor with wide detection range and high sensitivity based on glycerol@phosphoric acid nanofibers for human posture recognition applications

被引：7

作者：

Yu, Huixin ^{[1
]}

Wang, Qingzhou ^{[1
]}

Xu, Ruijie ^{[1
]}

Sun, Tao ^{[2
]}

Zhou, Qihui ^{[3
]}

Dhakal, Rajendra ^{[4
]}

Chernogor, Leonid ^{[1
]}

Zhang, Dongjie ^{[5
]}

Li, Yuanyue ^{[1
]}

Li, Yang ^{[2
]}

Yao, Zhao ^{[1
]}

机构：

[1] Qingdao Univ, Coll Elect & Informat, Qingdao 266071, Peoples R China

[2] Shandong Univ, Sch Integrated Circuits, Jinan 250101, Peoples R China

[3] Univ Hlth & Rehabil Sci, Sch Rehabil Sci & Engn, Qingdao 266113, Peoples R China

[4] Sejong Univ, Dept Comp Sci & Engn, Seoul 05006, South Korea

[5] Qingdao Univ, Dept Gastroenterol, Affiliated Hosp, Qingdao 266003, Peoples R China

来源：

CHEMICAL ENGINEERING JOURNAL | 2024年 / 490卷

基金：

中国国家自然科学基金;

关键词：

Flexible pressure sensor; Microsphere nanofiber structure; High sensitivity; Wide detection range; Human posture recognition;

D O I：

10.1016/j.cej.2024.151592

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Flexible pressure sensors are widely used in wearable devices, especially in the field of human - computer interaction. Hence, the development of flexible pressure sensors with excellent sensitivity and detection range is essential. This paper introduces a flexible capacitive pressure sensor based on glycerol@phosphoric acid nanofibers, showcasing remarkable properties, including high sensitivity (53.97 kPa(-1) at 300 - 1200 kPa), exceptionally wide detection range (1800 kPa), faster response/recovery time than human skin (14.4/9.6 ms), extremely low detection limit (5 Pa), outstanding stability ( >10,000 fatigue tests), and excellent biocompatibility. In addition, the sensor was seamlessly integrated with deep learning algorithms, embedded systems, and internet technologies to develop a comprehensive human posture recognition system, which can adeptly capture and identify intricate human movements with an accuracy rate over 98 %. This system establishes a diagnostic channel between home patients and rehabilitation experts. Owing to its excellent sensitivity and detection range, the developed sensor presents promising prospects for future advancements in human - computer interaction.

引用

页数：10